Rafael Monnerat - Hyperconvergence meets BigData [EuroPython 2016] [18 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/hyperconvergence-meets-bigdata) This presentation show how to deploy **[Wendelin][1]**, the free software platform for Big Data & Machine Learning, using **[SlapOS][2]** , the free software hyperconverged Operating System (hOS). Written in 100% in Python, SlapOS and Wendelin, can create a complete Big Data Infraestruture with out-of-core capabilities ready to use and operate in just few hours. [1]: http://www.wedelin.io [2]: http://community.slapos.org ----- This presentation aims to demonstrate how to use [SlapOS][1] (Hyperconverged OS) to deploy an entire Big Data Infrastrucure and show how "data life cycle" can be managed with [Wendelin][2] - covering ingestion, analysis, visualization and weaving it into an application. We'll show how Wendelin and SlapOS could handle acquisition, analysis and exploitation of data, making it a potential solution for IOT scenarios where data is available and needs some logic applied before being presented as web application, possibly on a commercial basis. The agenda of the presentation includes an introduction on SlapOS, as a tool used to deploy a wide range of different services and an introduction of Wendelin, as a tool in order to make out-of-core python applications. After a short introduction, we progress to show the steps to deploy SlapOS infrastructure and later to deploy Wendelin on the just deployed SlapOS, including an use case which shows SlapOS deploying a fluentd instance to ingest data to the Wendelin Database. To conclude, we make a live demo with an Jupiter using out-of-core python to handle wav files stored on Wendelin, and a second short demo on handle computer resources consumption data. [1]: http://community.slapos.org [2]: http://www.wendelin.io/